AI/ML Security Assessment Checklist
Use this checklist to systematically assess the security controls and risks associated with your AI/ML systems.
Assessed System or Project Name
*
Assessor's Full Name
*
First Name
Last Name
Assessor's Email Address
*
example@example.com
Date of Assessment
*
 -
Month
 -
Day
Year
2 digit month, 2 digit day, 4 digit year
Date
Type of AI/ML System
*
Please Select
Machine Learning Model
Deep Learning Model
Natural Language Processing System
Computer Vision System
Reinforcement Learning System
Other
AI/ML Security Controls Assessment
*
Rows
Implemented
Partially Implemented
Not Implemented
Not Applicable
Data encryption at rest and in transit
1
2
3
4
Access controls and authentication for model and data
5
6
7
8
Audit logging and monitoring of model usage
9
10
11
12
Protection against adversarial attacks
13
14
15
16
Regular model validation and testing
17
18
19
20
Secure model deployment practices
21
22
23
24
Data provenance and integrity checks
25
26
27
28
Incident response plan for AI/ML systems
29
30
31
32
How would you rate the overall security posture of this AI/ML system?
*
1
2
3
4
5
Are there any known vulnerabilities or security concerns related to this AI/ML system?
*
Yes
No
Not Sure
Please provide details of any identified vulnerabilities, risks, or mitigation recommendations (if applicable).
Additional Comments or Observations
Submit Assessment
Should be Empty: